Valence editable attributes need residual-context replay

Map the context that can survive an edit

Map raw chat, summaries, memories, profile attributes, goals, assessments, exercises, roleplays, recommendations, embeddings, model context, safety flags, support records, analytics, benchmarks, integrations, exports, and sponsor or administrator views. For each state, record its source, purpose, owner, controller or processor role as applicable, recipients, retention, visibility, editability, deletion path, and dependencies. Mark which states are recomputed, invalidated, retained as history, or left untouched after an attribute edit. A visible profile field is not the whole working model if older derived context can still shape coaching.

Run a residual-context replay

Create a synthetic or participant-approved attribute that materially affects advice, such as role, reporting line, location, goal, preference, accessibility need, relationship, or organizational context. Capture an initial response and the exact chat, memory, summary, retrieval, analytics, and permitted administrator state behind it. Edit the attribute, record time and version, start a new session, and replay the same prompt and decision situation. Inspect which old facts still appear, which sources were retrieved, and whether the response follows corrected or residual context. Repeat with conflicting chat history, reversion, duplicate attributes, delayed synchronization, and deletion.

Separate correction from erasure and disagreement

Define whether an edit changes future personalization, corrects a factual record, removes an inference, disputes an organizational assertion, or requests deletion of personal data. Preserve the participant's request and system response without forcing the person to restate sensitive chat. Clarify which historical records remain for security, legal, support, or measurement purposes and which outputs can be corrected or withdrawn. Provide escalation when the participant and organization disagree about a supplied attribute. Editing a display value should not be represented as deletion, and a sponsor's source should not automatically override the participant's lived context.

Use replay evidence before expansion

Track replay cases, residual-state discoveries, affected-surface coverage, propagation time, repeat wrong inferences, participant confirmation, support effort, and unresolved disputes using metadata and safe aggregation rather than coaching content. Sample the path with informed participants and a confidential escalation channel. Do not treat a high edit count as bad coaching or a low count as accuracy; either may reflect interface design, awareness, culture, or risk. Expansion should require evidence that the same material scenario stops using superseded state and that participants can understand and correct context without retaliation.

Turn this source into a reviewable decision

For AI Coaching Platforms for Leadership Development, use this briefing as a dated decision record rather than a substitute for the source. Preserve Valence Privacy Policy, the exact URL, the September 2, 2026 review date, the supported facts above, the editorial interpretation, the limitations, and any buyer-specific evidence. Link that record to the decisions most directly affected: Data flow and confidentiality; Application and coaching mode; Validation and outcome evidence; Workflow and identity integration. State whether the source changes the scope, evidence requirement, control, sequence, or only the language used to describe the decision.

Before action, name the accountable owner, affected population and workflow, exact offering or configuration, source data and rights, human decision point, exception and appeal path, complete cost, expected benefit, failure and stop conditions, retained evidence, and next review date. Keep official facts, provider statements, buyer observations, representative tests, measured outcomes, editorial inferences, and unknowns visibly separate. Reopen the record when the source, offer, model, integration, data, policy, population, responsible person, or measured result changes.

Limitations and unknowns

Valence is the provider and privacy-policy source. Its policy, labeled last updated May 19, 2026, describes categories of personal data and processing roles and says Nadia chat content supports ongoing context and informs user-visible, editable attributes. It does not independently establish a buyer's configuration, exact derived-state inventory, residual-context behavior after an edit, correction propagation, conflict resolution, retention, deletion, sponsor visibility, analytics treatment, model behavior, coaching quality, accessibility, employment-use boundary, cost, participant benefit, transfer, or organizational outcome. Current contracts and data terms, configured roles and integration exports, participant and administrator interface evidence, representative attribute-edit replays, conflict, reversion, export, deletion, failure, and recovery tests, and qualified coaching, learning, HR, employee relations, labor, privacy, security, accessibility, procurement, analytics, finance, clinical-safety where relevant, regulatory, and legal review control.